Recent Submissions

  • The ACE recommender system 

    Sangüesa i Sole, Ramon; Vázquez Huerga, Alberto; Vázquez Salceda, Javier (2001-04)
    Research report
    Open Access
    In this report we present the ACE Recommender System, a system built using the Multi Agent technology. In a practical way we study the use of cognitive and collaborative filtering to improve the accuracity of the ...
  • An adaptable approach to learn realistic legged locomotion without examples 

    Ordonez-Apraez, Daniel; Agudo Martínez, Antonio; Moreno-Noguer, Francesc; Martín Muñoz, Mario (2022)
    Conference report
    Open Access
    Learning controllers that reproduce legged locomotion in nature has been a long-time goal in robotics and computer graphics. While yielding promising results, recent approaches are not yet flexible enough to be applicable ...
  • Qué hacer para no saberlo todo 

    Moreno Ribas, Antonio (1993-09)
    Research report
    Open Access
    Cuando se intenta dar una semántica a las lógicas de creencias, la aproximación más utilizada habitualmente es el modelo de los mundos posibles. Este modelo tiene la ventaja de ser una aproximación bastante intuitiva a los ...
  • Estudio y comparación de algoritmos de superclasificación 

    Talavera Méndez, Luis José; Béjar Alonso, Javier (1993-06-25)
    Research report
    Open Access
    En este trabajo se expone la comparación de diferentes tipos de agrupación de clases (Superclasificación), obtenidas mediante algoritmos de agrupación conceptual (Conceptual Clustering) desarrollados en al programa LINNEO+. ...
  • Aprenentatge amb el mètode NGE 

    Moreno Ribas, Antonio (1993-12)
    Research report
    Open Access
    Salzberg developed in 1991 a learning method called "nested generalized exemplar" (NGE).
  • Composicionalitat en les xarxes neuronals 

    Moreno Ribas, Antonio (1993-12)
    Research report
    Open Access
    The main difficulty of the conexionist approach to computer science is representing structured complex objects using fixed structures such as neural networks.
  • Automated image analysis for single-atom detection in catalytic materials by transmission electron microscopy 

    Mitchell, Sharon; Parés Pont, Ferran; Faust Akl, Dario; Collins, Sean; Kepaptsoglou, Demie; Ramasse, Quentin; Garcia Gasulla, Dario; Pérez Ramírez, Javier; López Alonso, Nuria (2022-03-25)
    Article
    Restricted access - publisher's policy
    Single-atom catalytic sites may have existed in all supported transition metal catalysts since their first application. Yet, interest in the design of single-atom heterogeneous catalysts (SACs) only really grew when advances ...
  • Wind prediction using deep learning and high performance computing 

    Manero Font, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (Springer, 2021)
    Conference report
    Restricted access - publisher's policy
    Deep Learning Convolutional Neural Networks have been successfully used in many applications. Its versatility lies in reducing the number of parameters to train while maintaining or improving the feature representation ...
  • Pulmonary function and radiologic features in survivors of critical COVID-19: a 3-month prospective cohort 

    González Gutiérrez, Jessica; Benítez Iglesias, Iván D.; Carmona Arias, Paola; Santisteve, Sallya; Monge Esqué, Aida; Moncusí Moix, Anna; Gort Paniello, Clara; Pinilla Latorre, Lucía; Carratalá García, Amara; Zuil Moreno, María; Ferrer Roca, Ricard; Ceccato, Adrián; Fernández Barat, Laia; Motos Galera, Ana; Riera del Brío, Jordi; Menéndez Villanueva, Rosario; Garcia Gasulla, Dario (2021-07)
    Article
    Open Access
    BACKGROUND: More than 20% of hospitalized patients with COVID-19 demonstrate ARDS requiring ICU admission. The long-term respiratory sequelae in such patients remain unclear. RESEARCH QUESTION: What are the major long-term ...
  • Building a territorial working group to reduce gender gap in the field of artificial intelligence 

    Gibert, Karina; Valls Mateu, Aïda (2022-03-18)
    Article
    Open Access
    The gender gap (both at vocational and professional sides) in Artificial Intelligence (AI), and scientific and technological fields in general, is one of the most critical challenges that the current digital society must ...
  • knowlEdge Project –Concept, methodology and innovations for artificial intelligence in industry 4.0 

    Álvarez Napagao, Sergio; Ashmore, Boki; Barroso Isidoro, Marta; Barrué Subirana, Cristian; Beecks, Christian; Berns, Fabian; Garcia Gasulla, Marta; Jakubiak, Natalia; Megias Montsesinos, Pedro; Sànchez-Marrè, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    AI is one of the biggest megatrends towards the 4th industrial revolution. Although these technologies promise business sustainability as well as product and process quality, it seems that the ever-changing market demands, ...
  • Impact of time to intubation on mortality and pulmonary sequelae in critically ill patients with COVID-19: a prospective cohort study 

    González Gutiérrez, Jessica; Benítez Iglesias, Iván D.; de Gonzalo Calvo, David; Torres Cortada, Gerard; Batlle, Jordi de; Gómez Falguera, Silvia; Moncusí Moix, Anna; Carmona, Paola; Santisteve, Sallya; Gort Paniello, Clara; Ferrer Roca, Ricard; Garcia Gasulla, Dario; Torres, Antoni; Barbé, Ferran; Monge Esqué, Aida; Zuil Moreno, María (Springer Nature, 2022-12)
    Article
    Open Access
    We evaluated whether the time between first respiratory support and intubation of patients receiving invasive mechanical ventilation (IMV) due to COVID-19 was associated with mortality or pulmonary sequelae. Materials and ...

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